A Simulator Interconnection Framework for the Accurate Performance Simulation of SDL Models

Author(s):  
Thomas Kuhn ◽  
Philipp Becker
Author(s):  
Marco Mucino ◽  
Joel Ojile ◽  
Y. G. Li ◽  
Mike Newby

The Once Through Steam Generator (OSTG) is a heat recovery system mainly used in heat and power applications that offers an alternative to the common water-tube drum Heat Recovery Steam Generator (HRSG). The main difference relies on the fact that the OTSG has no drum. The modelling of the OTSG as part of any thermal plant used for power generation or to supply industrial process heat is of great importance. The accurate performance simulation of any power plant can provide extra information to the operations team that otherwise would involve labour intensive, long field experiments or data collection programmes. A novel, realistic performance simulation model for a single and double pressure Once Through Steam Generator is presented. The generality of the model allows the user to define any physical design of an existing or theoretical OTSG and operating requirements. The model is capable of simulating fouling effects on the overall OTSG performance. The model was tested using field data provided by Manx Electricity Authority. The results obtained show the success of the approach and the potential of such a tool in any cycle performance evaluation.


Author(s):  
M. Kelaidis ◽  
N. Aretakis ◽  
A. Tsalavoutas ◽  
K. Mathioudakis

An aircraft mission analysis procedure, accounting for engine aging deterioration and incorporating emission estimation capability, is presented. It consists of three main modules: a flight simulation module, an engine performance simulation module, and an optimizer. A key feature of the approach is the incorporation of engine deterioration modeling. This extends the procedure’s ability to estimate onboard performance of an engine as it ages through time and usage. Additionally, the possibility to investigate environmental impact is offered through pollutant emission semi-empirical correlations, which are coupled to the engine performance calculations. The adaptive character of the models employed allows for accurate performance and emission estimations once an initial set of data is available for the engine. The proposed procedure allows the optimization of a flight scenario for a variety of aircrafts, missions, and engine condition combinations in order to meet predefined criteria. Mission profile characteristics (e.g., cruise, altitude, and speed) providing optimum overall performance in terms of fuel conservation, time related costs, or pollutant production are studied.


2021 ◽  
Author(s):  
David Cate ◽  
Helen Hsieh ◽  
Veronika Glukhova ◽  
Joshua D Bishop ◽  
H Gleda Hermansky ◽  
...  

<p></p><p>The global COVID-19 pandemic has created an urgent demand for large numbers of inexpensive, accurate, rapid, point-of-care diagnostic tests. Analyte-based assays are suitably inexpensive and can be rapidly mass-produced, but for sufficiently accurate performance they require highly optimized antibodies and assay conditions. We used an automated liquid handling system, customized to handle arrays of lateral flow immunoassay (LFA) tests in a high-throughput screen, to identify anti-nucleocapsid antibodies that will perform optimally in an LFA. We tested 1021 anti-nucleocapsid antibody pairs as LFA capture and detection reagents with the goal of highlighting pairs that have the greatest affinity for unique epitopes of the nucleocapsid protein of SARS-CoV-2 within the LFA format. In contrast to traditional antibody screening methods (e.g., ELISA, bio-layer interferometry), the method described here integrates real-time reaction kinetics with transport in, and immobilization directly onto, nitrocellulose. We have identified several candidate antibody pairs that are suitable for further development of an LFA for SARS-CoV-2.</p><p></p>


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